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Recognition of Driver Type in Complex Driving Environment

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Abstract

An essential role in effectively reducing the occurrence of traffic accidents and protecting lives and properties of people is played by the recognition system of driver type with high accuracy. At present, the recognition system of driver type is designed based on the vehicle parameters and part of the traffic volume, without considering the impact of the complex and changeable driving environment on the driver. The change of driving environment will have a great impact on the driver, which is a factor that must be considered to identify the type of driver. Based on this, a recognition system of driver type which can adapt to complex driving environment is designed in this paper. The system based on the three-dimensional fuzzy logic reasoning system, the distance between vehicle and the intersection, velocity and acceleration of vehicle as input, and the radical degree of driver as output in this system. The influences of weather condition, illumination of the road surface, and the type of road on driving behavior are considered in order to improve the accuracy and generality of the recognition system of driver type in complex environments. Finally, the recognition system of driver type proposed in this paper is validated by Prescan and Matlab, and the results show that there are high recognition accuracy and strong versatility in complex environments in the system proposed.

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Funding

This research is supported by the National Nature Science Foundation of China (grant no. 51775320) and sponsored by the Shandong Province Key Research and Development Program (grant no. 2019GGX104069).

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Authors and Affiliations

  1. School of Transportation and Vehicle Engineering, Shandong University of Technology, 255049, Zhangdian, Zibo, China

    Shuaishuai Liu &  Di Tan

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  1. Shuaishuai Liu
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  2. Di Tan
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Correspondence to Di Tan.

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Shuaishuai Liu, Di Tan Recognition of Driver Type in Complex Driving Environment. Aut. Control Comp. Sci. 55, 510–521 (2021). https://doi.org/10.3103/S0146411621060055

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  • DOI: https://doi.org/10.3103/S0146411621060055

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